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Head of Risk Data Science

2 months ago

Montreal, Quebec, Canada Promote Project Full time
{"title": "Head of Risk Data Science", "description": "Shape the Future of Financial Freedom

At Promote Project, we're reimagining financial services to give every Canadian their fair shake. As the Head of Risk Data Science, you'll play a pivotal role in our journey.

As we continue to add more products and features, your role will be to ensure our customer experience remains delightful while managing downside risk.

This position demands a deep understanding of data science methodologies and state-of-the-art tools, as well as a keen product intuition and a passion for enhancing user experiences while managing risk effectively.

Key Responsibilities:
  • Work with large and complex data sets to identify and solve challenging problems related to customer actions and risk decisioning.
  • Develop and refine models for risk assessment and underwriting to enhance decision-making processes and ensure robust risk management.
  • Define key performance indicators (KPIs) and set success and guardrail metrics for risk management.
  • Engage in deep partnership with Product Managers to align risk decisioning efforts with strategic business goals and communicate findings with senior management.
  • Manage controlled experiments (i.e., A/B/n tests) from design, data tracking and instrumentation, impact sizing, audience selection, and results analysis.
  • Collaborate with other data practitioners to share knowledge and participate in the evolution of our internal data platform, tooling, and culture.
  • Conduct ad hoc investigations and make evidence-based recommendations that drive improvements in risk management and underwriting optimization.
Requirements:
  • Minimum of 5+ years of work experience in data science or analytics.
  • Strong understanding of risk management and underwriting in a fintech context.
  • Technical proficiency in one of Python or R in a data science context and SQL.
  • Ability to develop and optimize risk decision algorithms.
  • Experience in experiment & A/B/n test design and analysis.
  • Experience conducting deep-dive statistical analysis (modeling, causality, regression, etc.).
  • A demonstrated ability to manage and deliver on multiple projects with cross-functional teams and a high attention to detail.
  • Ability to distill nuanced statistical findings accurately to a business audience.
  • Knowledge of effective data visualization principles, tools, and techniques.
  • Some familiarity with dbt (our data transformation tool).
  • Startup experience is a big plus, bonus points for B2C fintech experience.
  • Experience working with cloud data warehouses (we use Snowflake).
What We Offer:
  • Competitive compensation (every shaker owns stock options).
  • Benefits (health, dental, paramedical, disability, etc).
  • Generous vacation time.
  • A chance to work in a dynamic and innovative environment.

We're an equal opportunities employer and welcome applications from diverse candidates.

Fluency in English is required due to the percentage of English-speaking customers and the nature of our platform, which is available to all Canadians.

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